Automatic sapstain detection in processed timber

Authors:
Jeremiah D. Deng;Matthew T. Gleeson
Affiliations:
University of Otago, Dunedin, New Zealand;University of Otago, Dunedin, New Zealand
Venue:
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Year:
2007

Citing 3
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Abstract

Research on automatic wood defect inspection has hardly studied sap-stain. We propose to use machine learning techniques such as feature selection, visualization and classification, to build an automatic sapstain detection system.